Portable microscope imaging system for quantitative detection of pepsinogen II

Yuzhao Wei; Guo Xia; Hao Cui; Jiangtao Wang; Shiqun Jin

doi:10.1117/12.2540563

13 November 2019 Portable microscope imaging system for quantitative detection of pepsinogen II

Yuzhao Wei, Guo Xia, Hao Cui, Jiangtao Wang, Shiqun Jin

Proceedings Volume 11343, Ninth International Symposium on Precision Mechanical Measurements; 1134302 (2019) https://doi.org/10.1117/12.2540563
Event: International Symposium on Precision Mechanical Measurements 2019, 2019, Chongqing, China

Abstract

The concentration of pepsinogen II in human serum is an important index for the detection of atrophic gastritis. In recent years, the serum pepsinogen tests are proved to be a screening way for gastric carcinoma. A portable microscope imaging system combined with lateral flow strips labeled by fluorescent microsphere for quantitative detection of pepsinogen II was developed, which use immunochromatographic assays. The imaging system used 365-nm ultraviolet LED as the excitation light source, and captured the test strip images through portable microscope. A modified two-dimensional maximum entropy segmentation algorithm is applied to analyze the result. Human serum of 8 different PGII concentrations is used as samples. 10 repeated experiments are carried out on each serum of PGII concentration, and the CV values for the data of each PGII concentration are less than 5%. The fitting curve is drawn according to the experimental data, and the fitting degree is 99.67%. Afforded high linearity within PGII levels of 5.62–240 ug/mL (R2= 0.9919),the limit of detection is 4.72ug/ml. It demonstrated that the device could realize rapid, stable detection for PGII concentration in human serum.

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Yuzhao Wei, Guo Xia, Hao Cui, Jiangtao Wang, and Shiqun Jin "Portable microscope imaging system for quantitative detection of pepsinogen II", Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 1134302 (13 November 2019); https://doi.org/10.1117/12.2540563

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KEYWORDS

Image segmentation

Imaging systems

Microscopes

Luminescence

Image processing algorithms and systems

Cancer

Image processing

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